Vaishnavi Venkatesan

Have you ever wondered what’s really happening inside Snowflake and the workloads running on it? How do you move beyond treating the platform as a black box, proactively monitor what you run and stay informed as things change? This talk explores how Snowflake monitoring addresses these questions, including AI-driven alerting workflows that enable no-code alerts and notifications. Built on next-generation event tables with improved telemetry management and access, these capabilities help organizations monitor the platform more effectively, with a customer example showing how they are applied in practice.

In today's data-driven landscape, visibility into workloads is essential for ensuring performance, reliability and efficiency. Snowflake Trail, Snowflake’s suite of observability tools, allows you to monitor, analyze and optimize diverse data workloads. In this session, we will explore key observability capabilities from auto-instrumentation to real-time monitoring. Through a real-world example, you'll see how Snowflake Trail enables deep observability, helping you enhance performance, troubleshoot issues and drive operational excellence.

Bottlerocket is an open-source, minimal, Linux-based, container-optimized operating system that is purpose built to host container workloads. It only includes tools needed to run containers, significantly reducing the attack surface and impact of vulnerabilities.